The Most Popular Tools for Mobile Application Analysis

The most urgent issue after the launch of any application is its promotion and functioning. And what can help in making the right decisions? - The data or rather analysis of the data. Mobile application analytics is the key to understanding how your application lives, how users perceive it, how much money it brings in, and what needs to be improved, changed, or added.

Today, there are many tools for analyzing mobile applications, and it is often difficult to choose the one that is most suitable for your purposes.

In order to facilitate this task, we offer a small overview of the most popular tools for application analysis. But first, let’s clarify what the analysis tools are.

Types of Mobile Application Analysis Tools

We will focus on two main types since the remaining formulations, in our opinion, are a kind of interweaving of marketing and the work of the application itself:

In-App Analytics

In-app analytics demonstrates to us what our users are doing in the application. These are purely mechanical and behavioral actions. This type of analysis will tell us:

what devices and software versions users use;

demographic characteristics (gender, age, language, location, etc.);

how much time users spend in the application;

what pages are used more often and why and so on;

user activity: clicks, purchases made, and completed levels; and

whether it is a new user, plus much more.

With this analysis, you can even see the level at which users stop using your application (if it is a game), what is difficult and what is too easy, and features that users prefer or neglect. All of this will help improve the application, gain more loyalty and increase profit.

There is also an analysis of the effectiveness or performance of the application that is similar to in-app analysis but provides purely technical data such as errors, runtime, failures, crashes, exceptions, data transactions, API, and carrier latency.

Marketing Analytics

This type of analysis will give a picture of how well your application stands out among many similar ones: the number of downloads, comparison with other applications, etc. These data will help you determine which advertisement for your application is most effective and which monetization strategy will be most beneficial.

The tools of this analysis are mainly focused on the following metrics:

Installation - the number of settings and information about how the user found the application

Running - how, when, and where users start your application

Registration - why and how users are registered (if necessary) and why they stop using the application

Content - what users are viewing

Links and invitations - why and where users share links to your application, the number of invited users, and users’ demographics

Purchases - when and what users are willing to buy in the app

Actions - here you can set parameters yourself, for example, what else users like that have made a purchase in the application

All these metrics show how to employ user behavior to maximum benefit. For example, if you see that your app is usually opened during lunch hours, you can increase the display of ads in those hours or pick up ads with the appropriate content.

Tools for Marketing Application Analysis

The service allows you to analyze the market, competitors, and behavioral indicators in the stacks and optimize the promotion processes.

One of the main advantages is the analysis of customers’ remarketing behavior. You can find out what’s wrong with your application and why users do not return to it. Also, the service monitors the advertising campaigns of competitors; reports of this activity will allow you to draw conclusions and change your own strategy.

Prices: $0.05, $0.04, and $0.03 for installation of the application, depending on volume

Platforms: iOS, Android, Windows, the web, Unity, Amazon, and TvOS

As a platform for tracking mobile applications and for analyzing attributes for application developers and marketers, AppsFlyer is trusted and used by the Wall Street Journal, L'Oreal, and Trivago.

Features:

Real-time data to improve ROI advertising

Reports to increase the “lifetime” of users

One universal SDK for ease of integration

Pros

Universal tool

Partnerships with Twitter and Google

No problems with fraud

Custom attribution window

Deletes songs for Android

Localization support: The toolbar is in nine languages, and currency and time zone can be selected

Numerous events in the application that are suitable for different verticals

Ready for activating after installation

Cons

Cannot supplement with ad tracking

What to Consider When Choosing a Platform for Application Analysis

To choose the most optimal platform for yourself, you need to consider the following criteria:

Functions: As a rule, platforms have a standard set of functions, but there are also unique ones for each platform. You should determine whether these unique functions are needed to analyze your application.

Your needs: Your needs are always a fundamental criterion. Determine what kind of analysis you need. If your application is not mass or specific, it’s possible you don’t need a marketing analysis, and it’s more important to analyze the effectiveness of the application. If you need a specific analysis, choose a platform where you can set up metrics.

Complexity: We recommend that you choose relatively simple platforms that are easy to work with. Too complex platforms will affect the performance of your application as they will slow down the analysis.

The price: The levels of pricing are quite different, so pay attention to this parameter since platforms with almost identical functions can be fundamentally different in value; moreover, some are completely free.

Support: Although this is the last example, it is not the last in importance, as timely support from the platform can influence the effectiveness of the application.

In Conclusion

This is not a complete list of services for analyzing mobile applications; for instance, there are also the following tools:

Finally, this is not a list of the “best of the best,” because only you can determine what kind of analytics will be optimal for your application. This is just a list of the most popular tools with universal and useful functions. We hope this information was useful for you.